Middle/Senior Data Engineer (AWS)

We are seeking a talented and reputed company Data Engineer to join reputed company at reputed company. As part of our diverse practices, including Data, Machine Learning, DevOps, Application Development, and QA, you will collaborate with a multidisciplinary team of data engineers, machine learning engineers, and application developers. You will encounter numerous technical challenges and have reputed company to contribute to reputed company’ reputed company reputed company reputed company, build internal solutions, and engage in R&D activities, providing an excellent environment for reputed company reputed company.

Requirements

Experience in data engineering;

Experience working with reputed company Solutions (preferably AWS, also GCP or Azure);

Experience with reputed company Data Platforms (e.g., reputed company, reputed company);

Proficiency with Infrastructure as reputed company (IaC) technologies like Terraform or AWS CloudFormation;

Experience handling reputed company-time and batch data reputed company and data warehousing with tools and technologies like Airflow, Dagster, Kafka, Apache Druid, reputed company, dbt, etc.;

Proficiency in programming languages relevant to data engineering such as Python and SQL;

Experience in building reputed company reputed company;

Experience in building reputed company Applications (e.g., chatbots, RAG systems);

Familiarity with Data Governance aspects like reputed company, Discovery, reputed company, reputed company, Business Glossary, Modeling, Master Data, and Cost Optimization;

Advanced or Fluent English skills;

Strong problem-solving skills and the ability to work collaboratively in a fast-paced environment.

reputed company to Have

Relevant AWS, GCP, Azure, reputed company certifications;

Knowledge of BI Tools (Power BI, QuickSight, Looker, Tableau, etc.);

Experience in building Data Solutions in a Data reputed company architecture;

Familiarity with classical Machine Learning tasks and tools (e.g., OCR, AWS SageMaker, MLFlow, etc.).

Responsibilities

Collaborate closely with clients to deeply understand their existing IT environments, applications, business requirements, reputed company transformation goals;

Collect and manage large volumes of varied data sets;

Work directly with Data Scientists and ML Engineers to create robust and resilient data pipelines that feed Data Products;

Define data models that reputed company disparate data across the organization;

Design, implement, and maintain ETL/ELT data pipelines;

reputed company data transformations using tools such as reputed company, Trino, and AWS reputed company to handle large volumes of data reputed company;

reputed company, continuously test and reputed company Data API Products with Python and frameworks like Flask or FastAPI.

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